Fingerprint orientation analysis with topological modeling

This paper proposes to characterize the fingerprint orientation using a novel topological representation, which transforms the orientation field into a map composed of a set of geometric objects and analyzes the properties of each geometric object based on two assumptions: regional coherence assumption and convexity assumption. Different from prior works on fingerprint orientation analysis, this approach has a capability to identify where the errors happen, not only the “random errors” (which is assumed by local-filtering and global modeling methods), but also the “structure irregularities”, which often occur in real prints and impose difficulty on existing techniques.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Zujun Hou, Jun Li, Hwee Keong Lam, Tai Pang Chen, Hee Lin Wang, Wei-Yun Yau
• Keywords: Computer Vision, Geometric Object, ICPR 2008, Regional Coherence Assumption, fingerprint Orientation